Triple
T22178844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Greenhouse |
E548116
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Linda |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Linda | Statement: [Linda Greenhouse, givenName, Linda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Context triple: [Linda Greenhouse, givenName, Linda]
-
A.
Linda
chosen
Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
-
B.
Linda
Linda is a supporting character in the film "The Pursuit of Happyness," depicted as Chris Gardner’s struggling and increasingly distant partner amid the family’s financial hardships.
-
C.
Linda
Linda is a central figure in Estonian mythology and folklore, best known as the wife of Kalev and mother of the hero Kalevipoeg.
-
D.
Linda
Linda is a Polish surname most notably borne by actor and director Bogusław Linda.
-
E.
Linda
Linda is a central character in Willy Russell’s play "Blood Brothers," known as the childhood friend and later love interest of twins Mickey and Edward Johnstone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6dd5a081908035e81c068d8d5a |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.